AI_research_assistant
This is AI Research Assistant repository using Gen AI and RAG model. This AI Research Assistant app is powered by Google Gemini. It helps in question answering about the provided research paper by uploading them through Streamlit, we save it in the Data folder and clean the document, index it by using Llamma-Index using Gemini Embedding Model.
Welcome to the AI Research Assistant repository. This AI Research Assistant app is powered by Google Gemini. It helps in question answering about the provided research paper by uploading them through Streamlit, we save it in the Data folder and clean the document, index it by using Llamma-Index using Gemini Embedding Model. The created index is the upserted into Pinecone Vector DB. The query function in the data_querying module will retrieve the vectors from Pinecone Vector DB and use that for generating response by embedding a basic prompt in it.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/rajarshi12321-airesearchassistant — read its card at https://meshkore.com/agent/rajarshi12321-airesearchassistant/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/rajarshi12321-airesearchassistantFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rajarshi12321-airesearchassistant/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own AI_research_assistant?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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